Programme Content
1. Fundamentals of Artificial Intelligence Students understand what AI is, its evolution, Narrow & General AI, how AI learns from data, major AI technologies, applications, capabilities & limitations. Examples from education, healthcare, science, entertainment & everyday life are discussed. 2. Prompt Design & Frameworks Young Learners learn how to communicate effectively with Generative AI through clear prompts. Topics include Role, Task, Context, Instructions, Output Format, conditioning, prompt refinement & follow-up prompting. Frameworks such as R-T-C-O, G-C-I-O & C-R-E-A-T-E are applied to quizzes, projects, speeches, s & creative writing. 3. AI-Assisted Learning & Research Using NotebookLM, Learners work with trusted sources to summarise concepts, organise information, create revision notes, generate practice questions & support academic preparation while maintaining independent thinking. 4. AI for Image Creation Students explore text-to-image generation & learn how subject, style, composition, background & context influence results. They create posters, banners, invitations, educational graphics & presentation visuals. 5. AI Video, Multimedia & Avatars Young Learners explore text-to-video, image-to-video, storyboarding, scene planning, narration, animation, voice & background audio. They also create simple AI-avatar-based explainers & storytelling content. 6. AI-Assisted Presentation Design Participants use AI to organise ideas, develop slide content & generate visuals while learning slide structure & visual hierarchy for assignments, projects, competitions & events. 7. AI-Assisted Website Creation Using no-code tools, Students create simple websites for portfolios, school projects, events, product ideas & innovation projects while learning page structure, content organisation & user experience. 8. Design Thinking & AI-Powered Innovation Learners learn the Empathise-Define-Ideate-Prototype-Test process & use the 5W1H framework to understand users, investigate problems, develop problem statements & generate possible solutions. 9. AI-Assisted Innovation Project Participants work individually or in teams to identify a real-world problem, understand users, generate solutions, select an idea, create a prototype, develop supporting visuals & present their solution. 10. Basic Python for AI Students receive an introduction to Python & its role in AI. They learn variables, input/output, conditions, lists & basic programming logic. 11. Responsible & Critical Use of AI Young Learners learn about hallucinations, misinformation, deepfakes, bias, privacy, copyright, academic integrity, information verification & safeguards for minors. 12. AI, Careers & Future Pathways Learners explore AI-related opportunities across technology, science, design, healthcare, media & business & understand future-ready skills including creativity, communication, coding, critical thinking & problem-solving. 13. Final Innovation Showcase Participants present their final project covering the problem, target user, proposed solution, role of AI, prototype & expected impact.
